Experts has a new look! Let us know what you think of the updates.

Provide feedback
Home
Scholarly Works
Deep Learning-Based Rate-Splitting Multiple Access...
Journal article

Deep Learning-Based Rate-Splitting Multiple Access for Reconfigurable Intelligent Surface-Aided Tera-Hertz Massive MIMO

Abstract

Reconfigurable intelligent surface (RIS) can significantly enhance the service coverage of Tera-Hertz massive multiple-input multiple-output (MIMO) communication systems. However, obtaining accurate high-dimensional channel state information (CSI) with limited pilot and feedback signaling overhead is challenging, severely degrading the performance of conventional spatial division multiple access. To improve the robustness against CSI …

Authors

Wu M; Gao Z; Huang Y; Xiao Z; Ng DWK; Zhang Z

Journal

IEEE Journal on Selected Areas in Communications, Vol. 41, No. 5, pp. 1431–1451

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

May 1, 2023

DOI

10.1109/jsac.2023.3240781

ISSN

0733-8716